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Dynamic Modeling of Incomplete Event History Data
Title
Dynamic Modeling of Incomplete Event History Data
Author
Heng, Fei
Date Created
2019
Subjects--Topical
Statistics
Description
Event history analysis has important applications in many fields, such as medicine, engineering, econometrics, actuarial science, and social studies. We usually encounter missing data problems in the modeling of event history data. One typical pro...
Inequalities in Education: A Closer Focus on School Discipline
Title
Inequalities in Education: A Closer Focus on School Discipline
Author
Furukawa, Taylor
Date Created
2023
Subjects--Topical
Education, Statistics, Social sciences--Research
Description
Disproportionalities in school discipline have become a popular research topic in recent decades, particularly at the school-, district-, and state-level. While there are a handful of reports using nationally representative data, this study provid...
Interval Estimation for Semiparametric Predictive Regression
Title
Interval Estimation for Semiparametric Predictive Regression
Author
Hong, Shaoxin
Date Created
2018
Subjects--Topical
Statistics
Description
Predictive regression is an important research topic in financial econometrics. Various estimation methods have been proposed for it, but they suffer from complicated asymptotic limits which depend on whether or not the predicting variable is stat...
Jensen-Shannon Divergence: Estimation and Hypothesis Testing
Title
Jensen-Shannon Divergence: Estimation and Hypothesis Testing
Author
Stewart, Ann
Date Created
2019
Subjects--Topical
Statistics
Description
Jensen-Shannon divergence is one reasonable solution to the problem of measuring the level of difference or "distance'" between two probability distributions on a multinomial population. If one of the distributions is assumed to be known a priori,...
Non-nested Model Selection via Empirical Likelihood
Title
Non-nested Model Selection via Empirical Likelihood
Author
Zhao, Cong
Date Created
2017
Subjects--Topical
Statistics
Description
In this dissertation we propose an empirical likelihood ratio (ELR) test to conductnon-nested model selection. It allows for heteroscedasticity and works for any twosupervised statistical learning methods under mild conditions. We establish asympt...
Non-parametric Estimation of Information-theoretic Quantities in Entropic Perspective
Title
Non-parametric Estimation of Information-theoretic Quantities in Entropic Perspective
Author
Zhang, Jialin
Date Created
2019
Subjects--Topical
Statistics
Description
Introduced by Shannon, mutual information is a fundamental brick of information theory for its essential role in measuring association on non-ordinal alphabets. Mutual information being zero is a golden property as it indicates a probabilistic ind...
Semiparametric Additive Hazards Models with Missing Covariates
Title
Semiparametric Additive Hazards Models with Missing Covariates
Author
Subedi, Pramesh
Date Created
2021
Subjects--Topical
Statistics, Biometry
Description
The case-cohort study design was originally proposed by Prentice (1986). Under this design,a random sub-cohort of individuals is selected from the cohort of study. Full covariate data are collected from all the cases in the cohort and the sub-coho...
Statistical Inference of Semiparametric Cox-Aalen Transformation Models with Failure Time Data
Title
Statistical Inference of Semiparametric Cox-Aalen Transformation Models with Failure Time Data
Author
Ning, Xi
Date Created
2023
Subjects--Topical
Biometry, Statistics
Description
Failure time data are commonly encountered in epidemiological and biomedical studies, where the exact time of an event may be unknown or incomplete. Many semiparametric models have been developed in the literature to analyze such data; however, th...